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Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs

by Ramesh Tiwari, Renu Dhir
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 5
Year of Publication: 2011
Authors: Ramesh Tiwari, Renu Dhir
10.5120/2581-3567

Ramesh Tiwari, Renu Dhir . Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs. International Journal of Computer Applications. 22, 5 ( May 2011), 12-17. DOI=10.5120/2581-3567

@article{ 10.5120/2581-3567,
author = { Ramesh Tiwari, Renu Dhir },
title = { Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 5 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number5/2581-3567/ },
doi = { 10.5120/2581-3567 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:36.788549+05:30
%A Ramesh Tiwari
%A Renu Dhir
%T Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 5
%P 12-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we describe the Image Filtration through Fuzzy Logics in four different scenarios of Image Input as 3*3,9*9, 17*17 and 25*25 division blocks and iterating fuzzy equation on it for 2 and 8 times at constant amplification factor of 10. The input image selected for analysis is PGM (Portable Gray Map), dividing input images into matrix of m*n blocks. The input image is analyzed for multiple iterations and difference in output is significantly marked for MSE and PSNR.

References
  1. Jef Poskanzer on his official site http://netpbm.sourceforge.net/doc/pgm.html
  2. Zhou, Yan, Tang, Quan-hua, Jin, Wei-dong, 2008. Adaptive fuzzy median filter for images corrupted by impulse noise in Congress on image and signal processing IEEE Conference. Volume 5 Page(s): 265 - 269
  3. Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., Kerre, E.E., 2006. Fuzzy two-step filter for impulse noise reduction from color images in IEEE Transactions on Image Processing Volume: 15, Issue: 11 Page(s): 3567 – 3578.
  4. Pei-Eng Ng, Kai-Kuang Ma, 2006. A switching median filter with boundary discriminative noise detection for extremely corrupted images in IEEE Transactions on Image Processing Volume: 15, Issue: 6 Page(s): 1506 – 1516.
  5. Z. Deng, Z Yin, and Y Xiong., 2007 High probability impulse noise-removing algorithm based on mathematical morphology in IEEE Signal Process Lett. Page(s): 31-34.
  6. Young Sik Choi, Krishnapuram, R., 1997, A robust approach to image enhancement based on fuzzy logic in IEEE Transactions on Image Processing, Volume: 6 Issue: 6, Page(s): 808 - 825,
  7. Yuewei Lin, Bin Fang, Yuanyan Tang, 2010, Image Restoration Using Fuzzy Impulse Noise Detection and Adaptive Median Filter in Chinese Conference on Pattern Recognition, Page(s): 1 - 4 .
  8. Haixiang Xu, Xiaorui Yue, 2009, An Adaptive Fuzzy Switching Filter for Images Corrupted by Impulse Noise in Sixth International Conference on Fuzzy Systems and Knowledge Discovery Volume: 3, Page(s): 383 – 387.
  9. Nachtegael, M., Schulte, S., Van der Weken, D., De Witte, V., Kerre, E.E., 2005. Fuzzy filters for noise reduction: the case of gaussian noise in The 14th IEEE International Conference on Fuzzy Systems, FUZZ '05. Page(s): 201 – 206.
  10. Van De Ville, D., Nachtegael, M., Van der Weken, D., Kerre, E.E., Philips, W., Lemahieu, I., 2003. Noise reduction by fuzzy image in IEEE Transactions on Fuzzy Systems Volume: 11 , Issue: 4 Page(s): 429– 436.
  11. H.Haussecker and H.Tizhoosh,1999 Handbook of Computer Vision and Applications, Page(s): 708– 753.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Filter PGM image Filtration

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